Combined Expression of HGFR with Her2/neu, EGFR, IGF1R, Mucin-1 and Integrin alpha 2 beta 1 Is Associated with Aggressive Epithelial Ovarian Cancer

Czogalla, Bastian; Dötzer, Katharina; Sigrüner, Nicole; Koch, Franz Edler von; Brambs, Christine E.; Anthuber, Sabine; Frangini, Sergio; Burges, Alexander; Werner, Jens; Mahner, Sven und Mayer, Barbara (2022): Combined Expression of HGFR with Her2/neu, EGFR, IGF1R, Mucin-1 and Integrin alpha 2 beta 1 Is Associated with Aggressive Epithelial Ovarian Cancer. In: Biomedicines, Bd. 10, Nr. 11

Abstract

Hepatocyte growth factor receptor (HGFR), also known as c-mesenchymal-epithelial transition factor (c-MET), plays a crucial role in the carcinogenesis of epithelial ovarian cancer (EOC). In contrast, the mechanisms contributing to aberrant expression of HGFR in EOC are not fully understood. In the present study, the expression of HGFR with its prognostic and predictive role was evaluated immunohistochemically in a cohort of 42 primary ovarian cancer patients. Furthermore, we analyzed the dual expression of HGFR and other druggable biomarkers. In the multivariate Cox regression analysis, high HGFR expression was identified as an independent prognostic factor for a shorter progression-free survival (PFS) (hazard ratio (HR) 2.99, 95% confidence interval (CI95%) 1.01-8.91, p = 0.049) and overall survival (OS) (HR 5.77, CI95% 1.56-21.34, p = 0.009). In addition, the combined expression of HGFR, human epidermal growth factor receptor 2 (Her2/neu), epithelial growth factor receptor (EGFR), insulin-like growth factor 1 (IGF1R), Mucin-1 and Integrin alpha 2 beta 1 further significantly impaired PFS, platinum-free interval (PFI) and OS. Protein co-expression analyses were confirmed by transcriptomic data in a large, independent cohort of patients. In conclusion, new biomarker-directed treatment targets were identified to fight poor prognosis of primary EOC.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892